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AI, Data Driven Models & Machine Learning: How Will Advanced Technologies Drive Future Simulation Processes?

AI, Data Driven Models & Machine Learning: How Will Advanced Technologies Drive Future Simulation Processes?

Event Slides | Event Recording

Thursday, November 19th, 2020

11:00am EST (New York) / 4:00pm GMT (London)


Webinar Series Background

In this ground-breaking webinar series from NAFEMS and Revolution in Simulation on "Achieving Pervasive Engineering Simulation: 2020-2030," we’ll be looking beyond the present to the next ten years of advancements in simulation that are needed to support Systems Thinking for a Model Based Enterprise. The series will explore how the latest technology trends and simulation methods will develop and impact our industry and society during the next decade.

Learn more about the Achieving Pervasive Engineering Simulation: 2020-2030 webinar series.

Webinar Overview

Artificial Intelligence (AI), aside from being a media-friendly hot-topic, has been part of engineering analysis and simulation for some time. Recent advances in data science techniques in support of data driven models, especially in the application of AI, machine learning (deep learning) and predictive analytics, have brought these concepts to the fore in every area of industry. This webinar discussed where we are, including some successful case studies, and how these technologies are being used to advance significantly the engineering analysis and simulation capabilities and approaches over the next 10 years.


Agenda

  • Welcome & Introduction:
  • A. Wood, Americas Regional Manager, NAFEMS
  • M. Panthaki, Co-Founder and Member of the Executive Committee, Revolution in Simulation
  • AI, Data Driven Models & Machine Learning: How Will Advanced Technologies Drive Future Simulation Processes?
  • O. Pinon Fischer, Senior Research Engineer - Chief, Digital Engineering Division, Aerospace Systems Design Laboratory (ASDL)
  • J. Betts, CEO, Front End Analytics
  • M. Tabaddor, Manager, Predictive Modeling and Analytics, Underwriters Laboratories LLC
  • Q&A and Discussion
  • Close